AI-assisted order intake and classification

We turn the orders that arrive outside a clean checkout into prepared orders. The assistant reads an incoming message, email or form, extracts the customer, items, quantities, address and requested time, and classifies the order by type and priority.

• An intake specification listing the order channels, formats and fields to be read.
• A classification scheme for order type, urgency, account and special handling.
• A test set built from your real past orders, with the correct answer recorded for each.
• A review screen where staff confirm, correct or reject each prepared order.
• A rule list for what must always go to a person, such as new accounts and unusual quantities.
• A weekly accuracy report from the test set and live orders.

• Staff confirm prepared orders instead of typing them.
• Orders reach confirmed entry sooner.
• Corrections fall as the rules are retrained, and the corrections staff make are counted by error type.
• Urgent orders are recognised on arrival rather than found late, and the count recognised on arrival shows it.
• The desk handles more orders in the same hours, measured as order-desk hours per hundred orders.

Free-text orders are slow to enter and easy to mistake. A wrong quantity or address is found at the doorstep, and a rush order buried in an inbox is missed. The order desk becomes a bottleneck at the hour when the customer most needs speed.

• Your order desk types in orders from chat messages and emails.
• Large accounts send the same order in a different format each week.
• Urgent orders are found late because they look like routine ones.
• Errors in quantity or address show up at delivery.
• You hesitate to add customers because the desk cannot keep up.

Distributors, wholesalers, catering and restaurant groups, and delivery operators whose accounts place orders by chat, email or call, and whose order desk spends the morning typing them into a system.

Qasim Abbas, author of Moneyball Finance, writes on how AI agents are beginning to choose for customers, and he sees order intake as the first place a group meets that shift.

We connect to your order system and build on a language-model service chosen with you. See how fees work.

Which orders does it read?

Orders arriving by message, email and form, with the customer, items, quantities, address and requested time extracted from each.

What does the order desk do day to day?

Staff review prepared orders on one screen and confirm them instead of typing each one.

How is accuracy reported?

A weekly accuracy report from the test set and live orders, with the corrections staff make counted by error type.

Send a sample of ten real orders as they arrive today. We show how an assistant would read them and prepare each one for entry.